JP2018005536A - Life data integration analysis system, life data integration analysis method and life data integration analysis program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data integration analysis system capable of more widely analyzing life data on an object person, a life data integration analysis method and a life data integration analysis program.SOLUTION: The life data integration analysis system has a collection part and a service provision part. The collection part collects life data on each object person together with a piece of individual identification information which is a piece of identification information on each object person individually recognized by a terminal device used by the object person or an information collection device installed in a facility including a non-residential facility from the terminal device or the information collection device. The service provision part refers to association information which associates the piece of individual identification information with standardized identification information and provides a service to analyze the life data on each object person corresponding to a plurality of the pieces of individual identification information on the basis of the life data associated with the plurality of pieces of individual identification information collected by the collection part.SELECTED DRAWING: Figure 8

Description

  Embodiments described herein relate generally to a life data integrated analysis system, a life data integrated analysis method, and a life data integrated analysis program.

  In recent years, research and commercialization of a system that grasps the state of a target person such as an elderly person with an electronic device and provides information such as a report has been advanced.

  In this connection, it is a system for retired companies, and a monitoring device is installed in the dwelling unit, and the monitoring information sent to the monitoring center via the public communication network is stored in the pre-registered contact information. An invention of a system is disclosed in which a service fee is applied from the corporate pension of the corporate group or incorporated as one of the various group insurance menus for retirees that are established and used by the corporate group. ing.

  In addition, the first terminal device that detects the energization state of the home appliance and transmits the energization information signal, and the energization information signal is received and the energization state meets a predetermined notification condition and periodically A second terminal device that transmits an information signal to a management reception unit; and a management device that organizes the energization state into display information that can be displayed in time series and transmits a signal related to the display information to another device. The invention is disclosed.

  However, the conventional system mainly analyzes the presence or absence of residence or going out, and the scope of analysis is limited.

JP 2012-174255 A JP 2014-56423 A

  The problem to be solved by the present invention is to provide a life data integrated analysis system, a life data integrated analysis method, and a life data integrated analysis program capable of analyzing life data of a subject in a wider range. is there.

  The life data integrated analysis system of the embodiment includes a collection unit and a service providing unit. The collection unit recognizes the life data of the subject individually from the terminal device used by the subject and the information gathering device installed in the facility including the non-residential facility. To be collected together with individual identification information which is identification information of the subject. The service providing unit refers to correspondence information in which the individual identification information is associated with the unified identification information, and based on the life data associated with the plurality of individual identification information collected by the collection unit, A service for analyzing the life data of the subject corresponding to the individual identification information is executed.

The figure which shows the communication environment of a life data integrated analysis system. The external appearance block diagram of the active mass meter 102 which is an example of a wearable biometric sensor. The external appearance block diagram of the vital sensor 104 which is another example of a wearable biosensor. The figure which shows the function structure and use environment of the agency terminal 200. FIG. The figure which shows the structure provided in the residence facility 300. FIG. The figure which shows the structure provided in the other facility 400. FIG. The hardware block diagram of the management server 500. FIG. The function block diagram of the management server 500. FIG. The figure which shows an example of the content of the user registration information 511. FIG. The figure which shows an example of the content of the user registration information 511. FIG. The figure which shows an example of the content of the user registration information 511. FIG. The figure which shows an example of the content of the vital data 512. FIG. The figure which shows an example of the content of the purchase history data 513. FIG. The figure which shows an example of the content of the action history data 514. 6 is a flowchart illustrating an example of user registration processing executed by a management unit 530. 5 is a flowchart showing an example of a display image generation process executed by the management server 500. The figure which shows an example of the 1st display image which matched and displayed the action of the subject person with time. The figure which shows an example of the 2nd display image which matched and displayed the action of the subject person with the place. The flowchart which shows an example of the merchandise information provision process performed by the management server 500. FIG. The figure which shows an example of the information memorize | stored in the memory | storage part 510A of the management server 500 in 3rd Embodiment. The figure which shows an example of the content of the health condition analysis table 515. The figure which shows an example of the content of the correlation determination table 516. FIG. The flowchart which shows an example of the flow of the process performed by the management server 500 of 3rd Embodiment. The figure for demonstrating the other example of the analysis method of the correlation of a health condition and purchasing. 9 is a flowchart showing another example of the product information provision process executed by the management server 500. The figure which shows the correlation of the value of vital data, and a purchase tendency. The figure which shows an example of the information memorize | stored in the memory | storage part 510B of the modification 2 of 4th Embodiment. The figure which shows an example of the content of the place table 517. The figure which shows an example of the information memorize | stored in the memory | storage part 510C which concerns on 5th Embodiment. The figure which shows an example of the content of the foodstuff combination table 518. FIG. The figure which shows an example of the information memorize | stored in the memory | storage part 510D which concerns on 6th Embodiment. The figure which shows an example of the content of the symptom judgment reference | standard data 519. The figure which shows an example of the information memorize | stored in the memory | storage part 510E which concerns on 7th Embodiment. The figure which shows an example of the content of the health point table 550. FIG.

  Hereinafter, the life data integrated analysis system, the life data integrated analysis method, and the life data integrated analysis program of the embodiment will be described with reference to the drawings. The life data integrated analysis system is life data collected from a terminal device including a wearable biosensor and an information collecting device provided in a house or a facility outside the house, and each has different identification information (individual identification information, individual ID) is a system that manages life data, which may be given ID, with unified identification information (unified ID) that is given to the subject in principle and analyzes the life data of the subject. Thereby, the life data integrated analysis system can expand the analysis target range not only to the residence of the target person but also to the outside thereof. That is, the life data integrated analysis system can analyze the life data of the subject in a wider range. The unified ID can be replaced with identification information that can identify the target person, such as My Number, Driver's License Number, and Mobile Number. In the following description, a person to be analyzed by the life data integrated analysis system is called a target person, and a person who has the authority to receive service provision is called a user. The target person himself / herself is included in the user, and his / her health life behavior can be browsed and the provided service can be used by himself / herself. The target person may also include an analysis object other than a person such as a pet.

(First embodiment)
FIG. 1 is a diagram showing a communication environment of a life data integrated analysis system. In the life data integrated analysis system, each of the one or more terminal devices 100, the agency terminal 200, the residential facility 300, the other facility (non-residential facility) 400, the management server 500, and the insurance company server 600 form the network NW. Connected through. The life data integrated analysis system may indicate the management server 500 or a complex configuration including the management server 500 and other configurations (for example, the terminal device 100 and the agency terminal 200). It may be a thing. Each device connected to the network NW includes a communication interface such as a NIC (Network Interface Card) or a wireless communication module (not shown in FIG. 1). The network NW includes, for example, a radio base station, a Wi-Fi access point, a communication line, a provider, the Internet, and the like. Note that it is not necessary for all combinations of these components to be able to communicate with each other, and the network NW may partially include a local network. The information collection device described above includes other devices provided in the facility 400.

  The terminal device 100 is a mobile phone such as a smartphone, or a computer device (communication device) such as a tablet terminal or a personal computer. The communication device includes, for example, a positioning device such as a GPS (Global Positioning System) receiver, an input / output device such as a touch panel, a wireless communication module, and a processor such as a CPU (Central Processing Unit) that controls these, a flash memory, and an HDD (Hard Disk Drive) and other storage devices. Further, the terminal device 100 may include a wearable biosensor that is worn by the subject and acquires various vital data and the like.

  FIG. 2 is an external configuration diagram of an activity meter 102 that is an example of a wearable biosensor. The activity meter 102 is, for example, a wristband type activity meter worn on a person's wrist. The activity meter 102 is used by being attached to a wrist of a person in a state where a main body (not shown) is attached to the wristband unit 102A. In addition to the buttons 102B and the display unit 102C, the main body unit includes a triaxial acceleration sensor, a communication device for communicating with the terminal device 100, a processor such as a CPU, various storage devices, and the like. A charging terminal is provided on the side of the main body opposite to the display portion 102C. The display content of the display portion 102C is visible by exposing the surface to the outside through a hole formed in the wristband portion 102A.

  The activity meter 102 is set to a mode (pairing mode) capable of communicating with a communication device such as a smartphone (hereinafter simply referred to as a communication device) by an operation on the button 102B. The operation mode of the activity meter 102 can be recognized by changing the display mode of the display unit 102C. The activity meter 102 can measure various human activities together with the communication device by installing a dedicated application on the communication device. For example, the dedicated application of the communication device measures the number of steps, the moving distance, the calorie consumption, or the sleeping time of the person wearing the activity meter 102 based on the detection value of the triaxial acceleration sensor of the activity meter 102. . Such a measurement function may be provided on the activity meter 102 side. Further, the activity meter 102 can record the time of eating, the time of bathing, and the like by a tap operation on the main body.

  FIG. 3 is an external configuration diagram of a vital sensor 104 which is another example of the wearable biosensor. For example, the vital sensor 104 is attached to a human body (such as a chest) with a conductive gel pad, and can continuously measure a person's cardiac potential, pulse wave, triaxial acceleration, and skin temperature simultaneously. The left figure of FIG. 3 shows the surface of the vital sensor 104 on the front side, and the right figure of FIG. 3 shows the surface of the back side of the vital sensor 104 (side attached to the human body). On the back side of the vital sensor 104, cardiac potential sensors 104A and 104B, a skin temperature sensor 104C, and a pulse wave sensor 104D are provided. The vital sensor 104 includes a triaxial acceleration sensor, a communication device for communicating with the terminal device 100, a processor such as a CPU, various storage devices, and the like. The vital sensor 104 calculates a heartbeat interval, a pulse wave interval, a body movement amount, a posture, and the like based on vital information detected by each sensor. The detection result and calculation result of the vital sensor 104 are returned to the communication device by, for example, transmitting a command for an API prepared in advance in the vital sensor 104 from the communication device. The dedicated application installed in the communication device generates various display images based on the information acquired from the vital sensor 104 and displays the generated display images on the display unit. The wearable biosensor may incorporate a position positioning device such as a GPS receiver. In addition, wearable biosensors have a built-in microphone device, such as voices, sneezing, coughing, hiccups, laughing, and other body sounds, environmental sounds such as noise around the subject, warnings, screams, collisions, falls, etc. It may be possible to record the time and date of occurrence of life sounds such as abnormal sounds, vacuum cleaners, door opening and closing sounds, frequency characteristics of sounds, sound intensity, etc. in time series in cooperation with the dedicated application.

  FIG. 4 is a diagram illustrating a functional configuration and usage environment of the agency terminal 200. The agency terminal 200 is a mobile phone such as a smartphone, or a computer device (registration device) such as a tablet terminal or a personal computer. The “agent” is, for example, a store operated by a business operator that assists the life data integrated analysis system. The agency terminal 200 includes, for example, an input / output device such as a touch panel, a wireless communication module, a processor such as a CPU that controls these, and a storage device such as a flash memory and an HDD. The agency terminal 200 is operated by a target person or a user other than the target person, and collects various types of information regarding the target person.

  The agency terminal 200 is connected to an information collecting device such as a camera 210, a Wi-Fi router 212, a Bluetooth (registered trademark) communication device 214, a reader / writer 216, and a code reader 218.

  The camera 210 captures the subject's face or appearance and generates image data.

  The Wi-Fi router 212 functions as a Wi-Fi access point and allows other devices to communicate with the agency terminal 200 by communicating with other devices. The Bluetooth communication device 214 communicates with other devices having a communication function of the Bluetooth specification. The reader / writer 216 communicates with an RF-ID tag, a non-contact type IC card, a portable terminal device, and the like by a short-range wireless communication method, and relays communication between these devices and the agency terminal 200. The code reader 218 includes an optical sensor for reading a code indicated by a bar code, a two-dimensional code, etc., and acquires information indicated by the code. Further, the agency terminal 200 may communicate with the terminal device 100 using the Wi-Fi router 212, the Bluetooth communication device 214, the reader / writer 216, and the like. In this case, a wearable sensor that is one of the terminal devices 100 may communicate with the agency terminal 200 via the communication device that is also the terminal device 100 or the configuration described above.

  The agency terminal 200 includes a communication interface 202, an input reception unit 204, a device communication unit 206, and a transmission information generation unit 208. The communication interface 202 includes a NIC, a wireless communication module, and the like. The input receiving unit 204 includes an input / output device (not shown) such as a touch panel, and receives an operation of a subject or the like. The input receiving unit 204 generates and displays an image for prompting an operation of the target person on an input / output device such as a touch panel. The device communication unit 206 performs communication processing for communicating with each device that communicates with the agency terminal 200. The transmission information generation unit 208 is based on data acquired from the input reception unit 204, the camera 210, the code reader 218, or the like, or data acquired via the Wi-Fi router 212, the Bluetooth communication device 214, the reader / writer 216, or the like. The transmission information is generated and transmitted to the management server 500.

For example, the agency terminal 200 performs the following processing.
(1) User registration of service (1-1) Registration of unified ID for registered user (1-2) Registration of device ID of terminal device 100 used by registered user Details of these processes will be described later.

  FIG. 5 is a diagram illustrating a configuration provided in the residential facility 300. In the residential facility 300, for example, a communication interface 302, a health measurement device 304, various sensors 306, a HEMS (Home Energy Management System) 308, and the like are provided.

  The communication interface 302 includes a NIC, a wireless communication module, and the like. The health measuring device 304 includes a sphygmomanometer, a weight scale, a height meter, an alcohol sensor, and the like. These components are preferably communicable with other devices via a network. The various sensors 306 include a security sensor (intrusion detection sensor), a surveillance camera, and the like. The HEMS 308 includes smart meters, smart home appliances, home gateways, and the like. The smart meter detects the state of consumption of power, gas, water, etc. in the residential facility 300. For example, a smart home appliance detects its own power consumption. The home gateway communicates with smart meters, smart home appliances, etc., and collects various information detected in the smart meters and smart home appliances. Information collected by the home gateway is notified to the terminal device 100 and displayed on the screen of the terminal device 100. The communication interface 302 transmits various information acquired from the health measurement device 304, various sensors 306, and the home gateway of the HEMS 308 to the management device 500 via the network NW.

  Each device in the residence facility 300 detects information for determining whether or not the subject person who is a resident is at home. For example, the management server 500 acquires a change in power consumption from a smart meter via a home gateway to detect a change in power consumption due to the subject's staying at home, and determines whether the subject is at home. to decide.

  For example, the smart home appliance includes an air conditioner, a television, lighting, a (automatic) vacuum cleaner, a rice cooker, a refrigerator, a door open / close monitoring device, and the like. The management server 500 detects whether the target person is at home by detecting an operation or a change in the operating status based on the operation of the target person with respect to the air conditioner, television, lighting, vacuum cleaner, rice cooker, or the like. Judging. In addition, the management server 500 determines that the subject is at home when detecting the opening / closing of the door in the refrigerator / door opening / closing monitoring device. Furthermore, the smart home appliance of the residence facility 300 may determine whether or not the target person is at home. Smart home appliances may also include mobile robots such as cameras, microphones, robot cleaners equipped with environmental sensors such as room temperature / humidity / dust / light / vibration, and pet-type robots. Living environment information such as room activity, humidity, and air pollution level is collected.

  The health measuring device 304 detects whether or not the subject is at home by detecting the operation of the subject. Various sensors 306 directly detect the presence of a person having the same characteristics as the target person or the fact that the detected person's behavior pattern matches the target person's behavior pattern, and the like. To do. The management server 500 determines whether or not the target person is at home based on the detection results notified from the health measurement device 304 or the various sensors 306.

  In addition, an arbitrary device provided in the residential facility 300 collects information detected by the health measuring device 304, various sensors 306, HEMS 308, etc. according to the communication standard of smart communication, and this information (or the target person is at home) (The result of determining whether or not) may be transmitted to the management server 500.

  FIG. 6 is a diagram illustrating a configuration provided in the other facility 400. The other facilities 400 include sales facilities such as convenience stores and supermarkets, activity facilities such as sports gyms, restaurants, and the like. The other facility 400 includes, for example, a communication interface 402, a health measurement device 404, various sensors 406, a camera 408, a microphone 410, a POS (Point Of Sales) device 412, and the like.

  The communication interface 402 transmits various information acquired from the health measurement device 404, various sensors 406, the camera 408, the microphone 410, the POS device 412, the terminal device 100, and the like to the management device 500 via the network NW.

  The health measuring device 404 includes, for example, a sphygmomanometer, a weight scale, a height meter, an alcohol sensor, and the like.

  The various sensors 406 include, for example, a security sensor (intrusion detection sensor), an image processing apparatus that extracts a target object from an image captured by a camera, and the like. The various sensors 406 may include at least a sensor (such as a biometric device) that detects biometric authentication information that can identify the subject. The biometric authentication information enabling identification of the subject includes information associated with the features of each subject's biometrics, such as fingerprint feature points, fingerprint images, iris images, finger vein patterns, human phases, and signatures. Information associated with the characteristics of each subject's biological body is stored, for example, as a template for authentication processing in the management server 500.

  The camera 408 captures the face of the subject and generates image data. Moreover, the camera 408 may be a monitoring camera that monitors the situation in the store. In addition, the camera 408 may be a camera that is incorporated in a device such as an ATM device and records the usage status of the device from within the device. The camera 408 may also serve as an imaging unit for various sensors 406.

  The microphone 410 detects ambient sounds and outputs a signal including detected sound information (sound data).

  When selling the product, the POS device 412 identifies the product to be sold, totals the price of the identified product, and presents the total amount as a billing amount. The POS device 412 accepts payment processing by cash of the total amount or payment by a card such as a credit card or a prepaid card, and performs deposit processing corresponding to the billed amount. Further, the POS device 412 extracts the identification information of the purchaser who has paid using the point card indicating the registrant of the point service or using the credit card, the prepaid card or the like. The POS device 412 generates purchase information in which purchaser identification information is associated with product information of a product to be purchased. Further, the POS device 412 generates purchase data in which the identification information of the purchaser who has made payment and the product information of the purchased product are associated, and uses this as purchase history information.

For example, each device in the other facility 400 performs the following processing.
(2) Collection of information for specifying an individual (2-1) Collection of information for specifying an individual from the terminal device 100 such as a wearable biosensor, various sensors 406, a camera 408, a POS device 412, etc. (3) Collection of registered user's life data and purchase data (optional) (4) Collection of various data for detecting health condition (5) Provision of services to registered user (5-1) Notification of health condition determination result (5) -2) Provision of information to enhance health

  FIG. 7 is a hardware configuration diagram of the management server 500. The management server 500 includes, for example, a CPU 500A, a RAM (Random Access Memory) 500B, a nonvolatile storage device 500C, a portable storage medium drive device 500D, an input / output device 500E, and a communication interface 500F. The management server 500 may include an arbitrary form of processor instead of the CPU 500A, or some of the components shown in FIG. 7 may be omitted.

  The CPU 500A develops the program stored in the nonvolatile storage device 500C or the program stored in the portable storage medium attached to the portable storage medium drive device 500D in the RAM 500B and executes the program, which will be described below. Various processes are performed. The RAM 500B is used as a working area by the CPU 500A. The nonvolatile storage device 500C is, for example, an HDD, a flash memory, a ROM (Read Only Memory), or the like. The portable storage medium drive device 500D is loaded with a portable storage medium such as a DVD (Digital Versatile Disc), a CD (Compact Disc), or an SD card. The input / output device 500E includes, for example, a keyboard, a mouse, a touch panel, a display device, and the like.

  FIG. 8 is a functional configuration diagram of the management server 500. The management server 500 includes a storage unit 510, a collection unit 520, a management unit 530, and a service providing unit 540.

  The storage unit 510 is a storage area provided in the RAM 500B or the nonvolatile storage device 500C. The storage unit 510 may be realized by an external storage device such as a NAS (Network Attached Storage) device accessible from the management server 500.

  The storage unit 510 stores information such as user registration information (correspondence information) 511, vital data 512, purchase history data 513, action history data 514, and the like.

  9 to 11 are diagrams illustrating an example of the contents of the user registration information 511. For example, the user registration information 511 is a type of user identification information (individual ID) that is individually recognized by the information collection device with respect to a unified ID (unified identification information) that is given to the user in principle. The first table 511A (FIG. 9) in which various registration IDs are associated, the second table 511B (FIG. 10) in which basic user information is associated with the unified ID, and the user allergies with respect to the unified ID. And a third table 511C (FIG. 11) associated with the information. The user registration information 511 is an example of “correspondence information”.

  The registration ID includes a vital ID, a card ID, a biometric feature ID, a device ID, and the like. The vital ID is identification information for specifying the vital information of the user. For example, the vital ID is identification information of a vital information measuring device such as a wearable biosensor used by the user. The card ID is identification information of a card such as a credit card or prepaid card owned by the user. The biometric feature ID is biometric authentication information that enables the user to be identified. The biometric feature ID includes, for example, a user's fingerprint feature point, fingerprint image, iris image, finger vein pattern, human phase, voice print, signature, etc., or information on these feature amounts. The device ID is information for identifying a terminal device used by the user. The vital ID and device-specific ID may overlap. For example, the wearable biosensor identification information may be treated as a vital ID and at the same time as a per-device ID. Basic user information is information indicating user attributes, and includes, for example, information such as the user's age, date of birth, gender, address, height, weight, family structure, possession qualification, preference, educational background, work calendar, etc. . The user allergy information is information indicating an object for which the user exhibits an allergic reaction, and includes information such as dust, mites, eggs, and cedar pollen, for example.

  FIG. 12 is a diagram illustrating an example of the contents of the vital data 512. The vital data 512 is information in which a vital ID is associated with date and time, device type, various vital data (one of life data) indicating a user's health condition, and the like. The date / time is the detection date / time of various vital data. The device type is identification information of a device that has detected various vital data. Various vital data includes information such as pulse, body surface temperature, heart rate, weight, body composition, blood pressure, blood vessel age, skin age, oxygen saturation, body sound, centroid walking measurement, body shape, body surface temperature distribution, and the like.

  FIG. 13 is a diagram illustrating an example of the contents of purchase history data 513. The purchase history data 513 is information in which purchase data (another one of life data) indicating the purchase history of the user is associated with the registration ID of the user. For example, the purchase history data 513 includes a user's registration ID, ID type, information about purchased products, and the like. The registered ID of the user corresponds to the “card ID” or “biological feature ID” described above. The ID type includes information on the means for identifying the user when purchasing the product, and is information such as “card” and “biological feature ID”, for example. The date and time is information specifying the date and time when the user purchased the product. Each piece of information about the purchased product includes information such as the purchase location, product name, product classification, and quantity of the product.

  FIG. 14 is a diagram illustrating an example of the contents of the action history data 514. The action history data 514 is information in which action data (other one of life data) represented by date and time, device type, user position, and the like are associated with the unified ID. The date and time is the detection date and time of behavior data. The device type is the type of the device that detected the behavior data, and the device registration ID is the registration ID of the device that detected the behavior data. In addition, although vital data, purchase data, and action data were illustrated as living data, some of them may be omitted, and other types of data may be treated as living data.

  The collection unit 520 collects the life data of the target person from the information collection device that is the terminal device 100 and the information collection device installed in the other facility 400. The collection unit 520 collects the individual ID together with the life data of the target person.

  The management unit 530 includes a registration information reception unit 532, a correspondence information generation unit 534, and a person identification unit 536. The registration information receiving unit 532 receives input of registration information in which the unified ID and the individual ID are associated with each other. The correspondence information generation unit 534 generates user registration information 511 based on the registration information received by the registration information reception unit 532.

  The person identifying unit 536 extracts and labels features related to the behavior of the target person and the target person from information such as sensor data, video, and sound collected as the life data of the target person, and converts them into character strings and symbols. To do. Then, the person specifying unit 536 understands the intention and situation of the target person with reference to the knowledge database. The person identification unit 536 applies this to person identification. Details regarding the identification of a person will be described later.

  The service providing unit 540 provides a service that analyzes life data in an integrated manner based on life data acquired through communication. This service is performed, for example, by providing an image indicating an analysis result to the terminal device 100 and other devices, or by transmitting alarm information when some event occurs. The life data is accompanied by an individual ID for identifying the data. The service providing unit 540 identifies a target person based on the individual ID included in the life data, integrates a plurality of life data that may have different individual IDs for the identified target person, and sets it as a service target. To do. The individual ID included in the life data may be different for each device, or an ID common to a plurality of devices may be used. In the latter case, the service providing unit 540 may process two or more types of life data with common individual IDs.

  The service providing unit 540 includes, for example, a timeline processing unit 542, a purchase behavior analysis unit 544, and a display information generation unit 546. The timeline processing unit 542 associates different types of collected data based on the date and time when life data is detected. The display information generation unit 546 generates display information for displaying the analysis result based on the life data associated by the timeline processing unit 542 on the display screen. In the first embodiment, the purchase behavior analysis unit 544 can be omitted.

  The service executed by the life data integrated analysis system will be described below. The service provided by the life data integrated analysis system of this embodiment is, for example, a membership service that requires user registration. Services are provided to registered users (members) who have been registered.

  FIG. 15 is a flowchart illustrating an example of user registration processing executed by the management unit 530. Here, a case where a registration request is received from the agency terminal 200 will be described as an example.

  First, the registration information receiving unit 532 in the management unit 530 detects a user registration request based on an operation of a user or the like from information received from the agency terminal 200 (S11). Next, the registration information receiving unit 532 adds and registers a unified ID for identifying the user to the user registration information 511 (S12). Next, the registration information receiving unit 532 acquires various information related to the target person from the agency terminal 200 (S13). Next, the registration information receiving unit 532 registers various information acquired from the agency terminal 200 in the user registration information 511 in association with the unified ID (S14).

  Next, the agency terminal 200 detects a registration request for the terminal device 100 used by the user (S15). The agency terminal 200 adds the device-specific ID of the terminal device 100 that enables the terminal device 100 to be used to be identified to the user registration information 511 (S16). The above-mentioned device ID is a kind of individual ID. Note that the ID of each device of the terminal device 100 to be used is added by the processing of S16.

  With the above processing, the processing for registering the user as a service target person is completed. In addition, said process may be implemented by the method of operating the agency terminal 200 directly, and may be implemented by the method of operating the terminal device 100. FIG. In the latter case, the terminal device 100 receives the operations of the target user and other users, and notifies the agency terminal 200 of information based on the received operations. For example, such a registration process in which each device ID is associated with a unified ID may be realized by an input to the terminal device 100 by a target person or another user. Note that the ID for each device may be registered at the store terminal when the wearable biosensor is purchased.

  The service provided by the life data integrated analysis system of this embodiment is, for example, a service that provides a display image based on the life data of the subject.

  FIG. 16 is a flowchart illustrating an example of a display image generation process executed by the management server 500. First, the person specifying unit 536 of the management server 500 specifies a service target person (S21). When the service requester is a target person, the person specifying unit 536 searches the user registration information 511 using, for example, the device ID of the terminal device 100 used by the target person, and acquires the unified ID. Instead, the management server 500 may acquire a unified ID that is input to the terminal device 100 by the subject or stored in advance in the terminal device 100. In addition, when the service requester is not the target person, the person specifying unit 536 acquires information for specifying the target person (name, age, etc., or ID that has already been paid out), and unified based on the information Get an ID. In the following description, it is assumed that the requester of the service is the target person.

  Next, the timeline processing unit 542 is given the vital ID corresponding to the unified ID of the subject from the vital data 512, and acquires the vital data of the subject corresponding to the designated period (S22). Next, the timeline processing unit 542 obtains behavior history data corresponding to the specified period, given the unified ID of the subject, from the behavior history data 514 (S23). The timeline processing unit 542 associates a part of the vital data 512 and a part of the action history data 514 using the date and time data within the specified period, which is associated from the pair of the vital ID and the unified ID, as a key. (S24). The timeline processing unit 542 performs analysis processing based on part of the vital data 512 and part of the action history data 514 associated in S24 (S25).

  Next, the display information generation unit 546 generates a display image for displaying the result of the analysis processing in S25 on the display screen (S26). For example, the display information generation unit 546 generates a first display image for displaying the behavior of the subject in association with the time, a second display image for displaying the behavior of the subject in association with the location, and the like. To do. The display information generation unit 546 transmits information on the display image to be displayed on the terminal device 100 to the terminal device 100 of the subject (S27). The terminal device 100 displays the display image acquired from the management server 500 on a display unit (not shown).

  As described above, the service providing unit 540 generates a display image associated with the time and / or position based on the life data of the subject, and causes the terminal device 100 or the like to display the display image. For example, the service providing unit 540 displays a display image in which the behavior of the subject person is displayed in association with the time, a display image in which the behavior of the subject person is associated with the place, and the like according to the selection of the subject person. You may let them.

  FIG. 17 is a diagram illustrating an example of the first display image PIC1 in which the behavior of the target person is displayed in association with the time. The horizontal axis of the first display image PIC1 indicates the passage of time.

  The upper part PIC11 of the display image is an area schematically showing the daily action history of the subject. For example, it is shown that the subject went out after getting up at home, dropped in at a sports gym and a convenience store, and returned home.

  The middle stage PIC12 is an area indicating changes in vital data of the day. As an example of vital data, blood pressure, number of steps, and heart rate are illustrated. It can be read that each of the blood pressure BP, the number of steps SC, and the heart rate HR increased with going out. Moreover, each index value has further increased by exercising in the gym. After that, we dropped in at a convenience store, and blood pressure BP and heart rate HR decreased.

  The lower part PIC13 is an area showing what the subject ingested and its nutritional value. Calories are illustrated as an example of nutritional value. The subject purchases a sports drink at a convenience store after exercising at a sports gym and drinks it on the spot. The service providing unit 540 records purchase data indicating that a sports drink has been purchased at a convenience store in the purchase history data 513. Furthermore, the service providing unit 540 records that the purchased sports drink was drunk on the spot as life data. In this image, the above-mentioned action and the state change accompanying it are displayed as a result. In addition, the system of embodiment may acquire not only a calorie intake but the nutrient data of object food-drinks, and the form which records a nutrient intake. In addition, the system according to the embodiment includes various devices (such as employee cafeterias and restaurants, etc.) that are provided in the other facility 400 at the time of cashier settlement with IDs that can correspond to the first table 511A associated with registration IDs such as employee ID cards and point cards. For example, in the form of recording calorie intake data or nutrient intake data via the terminal device 100 or the employee ID / point management system by providing it to the POS device 412) and giving the receipt two-dimensional code information or communicating with the cash register terminal Good.

  FIG. 18 is a diagram illustrating an example of the second display image PIC2 in which the action of the subject person is displayed in association with the place. In the second display image PIC2, an image obtained by modeling a map and looking down at the map is a background image. The behavior of the subject shown in FIG. 18 is the same as the behavior shown in FIG.

  For example, it is shown that the subject walked from his / her home to a sports gym and then walked to a convenience store and then returned home. Although the above shows the range that moves on foot, the range moved by other moving means such as a bicycle, car, bus, train, etc. can also be displayed on the same screen. You may display so that it can distinguish the case of the walk and bicycle which move by own power, and the case of the car etc. which move using motive powers other than own power. The service providing unit 540 distinguishes between movement by one's own power and movement using power other than one's own power, the detection result of the number of steps, heart rate, etc., the calculation result of the moving speed calculated from GPS information, etc., the transportation service You may implement based on at least one of usage history.

  As described above, the service providing unit 540 displays the first display image in which the behavior of the subject is displayed in association with the time, the second display image in which the behavior of the subject is displayed in association with the place, the subject, etc. Can be displayed according to the selection.

  As described above, when the target person repeats the action of stopping at a convenience store after going to the gym, the action is accumulated as history information. The service providing unit 540 can analyze the past behavior based on the history information of the subject's behavior, and can also diagnose the current health status of the subject and predict possible future behavior. . For example, even if a high value is detected for the current blood pressure, it tends to inevitably increase if exercise is performed immediately before measuring the blood pressure. The service providing unit 540 may correct the determination criterion based on the latest past action history information.

  According to the first embodiment described above, from the information collection device that is the terminal device 100 used by the subject and the information collection device installed in the other facility 400, the life data and individual ID of the subject The user registration information 511 in which the individual IDs are associated with the unified ID is referred to, and based on the life data associated with the collected individual IDs, the target person corresponding to the plurality of individual IDs By executing the service, it is possible to analyze the life data of the target person more widely.

  Further, according to the first embodiment, the registration information reception unit 532 receives registration information in which the unified ID and the individual ID are associated, and the correspondence information generation unit 534 is received by the registration information reception unit 532. By generating the correspondence information based on the registration information, it is possible to easily start the target person's service.

  In addition, according to the first embodiment, by further including the agency terminal 200 that transmits the individual ID input from the information collection device together with the unified ID as the registration information to the management server 500, the information of the target person can be obtained. It can be easily collected.

Further, according to the first embodiment, by analyzing the temporal transition of the life data of the subject and the behavior history, the behavior tendency of the subject can be obtained as information on temporal transition. .
For example, healthy behaviors and non-healthy behaviors can be identified from the tendency of the subject's behavior. Among these, it is possible to provide information so as to correct an unhealthy behavior by providing an objective basis.

  In addition, according to the first embodiment, the health of the subject can be evaluated by analyzing the relationship between the life data of the subject and the place. For example, from the results of the analysis shown in FIG. 17 or 18, it can be estimated that the subject is a person who has a habit of moving on foot and exercising at a gym. On the other hand, even if compared with people who travel by car frequently or who do not have the habit of exercising, the target person must secure a lot of exercise and evaluate that they are living healthier Can do. In addition, the quality of healthy life can be evaluated in a multifaceted manner by multiplying the quality of sleep by sleep / wake-up time / body movement and the quality of food by meal time and intake nutrient balance.

(Second Embodiment)
Hereinafter, the second embodiment will be described. The life data integrated analysis system of the second embodiment provides information on products for which purchase is recommended based on the similarity of vital data. Such processing is realized by the function of the purchase behavior analysis unit 544 that analyzes the purchase behavior of the target person.

  The service provided by the life data integrated analysis system of the present embodiment is a service that provides information on products suitable for the subject based on the life data of the subject, for example.

  FIG. 19 is a flowchart illustrating an example of product information provision processing executed by the management server 500. First, the person specifying unit 536 of the management server 500 specifies a service target person (S31).

  Next, the purchase behavior analysis unit 544 acquires purchase data (subject purchase data of the target person) to which the registration ID corresponding to the unified ID of the target person is given from the purchase history data 513 (S32).

  Next, the collection unit 520 acquires vital data of the current subject from the terminal device 100 (S33). The acquired vital data is added to the vital data 512.

  Next, the purchase behavior analysis unit 544 extracts a product suitable for the vital data of the current target person as a recommended product candidate (S34). For example, the purchase behavior analysis unit 544 extracts past vital data similar to the latest vital data of the target person, and purchases products purchased by the target at the same time as the extracted past vital data from the purchase history data 513. Extract.

  Next, the purchase behavior analysis unit 544 determines whether or not recommended product candidates have been extracted (S35). When the recommended product candidate is extracted, the purchase behavior analysis unit 544 gives a priority to the recommended product candidate based on the latest vital data. The display information generation unit 546 generates image information for causing the terminal device 100 to display recommended product candidates in order of priority, and notifies the terminal device 100 of the image information (S36). The terminal device 100 may switch and display the image information for each product, or may display a plurality of products side by side.

  When the process of S36 is completed, or when it is determined in S35 that the recommended product candidate has not been extracted, the process of one routine of this flowchart ends.

  Here, when the target person likes the recommended product candidate, the target person operates the terminal device 100 to reply to the management server 500 that the recommended product candidate matches the preference. May be. The management server 500 may reflect the content of this answer in the selection of the next recommended product candidate. In addition, information on a product actually purchased at this timing may be transmitted from the POS device 412 to the management server 500 and used in the same manner.

  In addition, the display of the product recommended by the service may be performed by various devices (for example, the POS device 412) provided in the other facility 400 instead of the terminal device 100. The same applies to each embodiment described below.

  The determination of the similarity between vital data is performed, for example, by the following correlation determination. For example, the purchase behavior analysis unit 544 extracts data at a specific time or a specific period from the time series information of the vital data 512, and vectorizes the extracted vital data at the time or period. Then, the purchase behavior analysis unit 544 calculates the inner product of the two vectors or the value obtained by normalizing the inner product by the length of the vector as the similarity of the vectorized vital data, and based on these, the similarity is calculated. Determine.

  Note that the detection cycle may vary depending on the type of vital data. In that case, the number of specific types of life data included in the range to be compared is adjusted to the same number, and the inner product is calculated. Also good.

  According to the second embodiment described above, in addition to obtaining the same effects as those of the first embodiment, products that the user currently desires using the similarity between the latest and past vital data. And information can be provided to the user. As a result, it becomes possible for the user to notice the desire that he / she does not notice and to purchase the necessary product without leaking it.

(Third embodiment)
Hereinafter, a third embodiment will be described. The life data integrated analysis system of the third embodiment performs a process of estimating the health condition of the subject based on vital data.

  FIG. 20 is a diagram illustrating an example of information stored in the storage unit 510A of the management server 500 in the third embodiment. In the third embodiment, the storage unit 510A stores a health condition analysis table 515 and a correlation determination table 516 in addition to the information stored in the storage unit 510 of the first embodiment.

  FIG. 21 is a diagram illustrating an example of the contents of the health condition analysis table 515. In the health condition analysis table 515, judgment conditions (judgment criteria and threshold values (pulse rate, body surface temperature,...)) For determining the health condition are associated with the estimated health condition of the subject. Information. Judgment criteria are the results of whether or not various thresholds are met, and if all conditions are met, it is estimated that the condition is healthy (and), or if any one of the conditions is met, This is information for designating whether or not the state is healthy (or). For example, the purchase behavior analysis unit 544 of the management server 500 determines whether or not any of the records specified in the health condition analysis table 515 corresponds to the latest vital data of the target person, and sets the corresponding records. If there is a corresponding health condition, it is estimated that the subject is in that health condition. Note that the estimated health condition is held in a form added to the vital data 512, for example. The determination criterion and threshold value for identifying the health condition may be set by a human operation, or may be set based on an algorithm that automatically analyzes the health condition.

  FIG. 22 is a diagram illustrating an example of the contents of the correlation determination table 516. The correlation determination table 516 is information in which an occurrence rate (correlation rate) based on the number of times or frequency with which the user selects each product under the health state is associated with the health state. For example, the collection unit 520 of the management server 500 accumulates information on products purchased in a period in which it is determined that the target person is in the health state specified in the health state analysis table 515, and the correlation in the correlation determination table 516 is stored. Update rate information. Then, the purchase behavior analysis unit 544 identifies a product having a correlation with the health state based on the correlation rate, and adds the product to the correlation determination table 516.

  For example, the purchase behavior analysis unit 544 records the number of times determined to be “tension” 10 times, and if the tobacco is purchased 5 times, the correlation rate is 50% and the chocolate is purchased 4 times. For example, the correlation rate is 40%, and if the coffee is purchased once, the correlation rate is 10%. In this case, the purchase behavior analysis unit 544 selects tobacco and chocolate in descending order of correlation rate, and identifies them as products for which correlation is recognized. Note that the purchase behavior analysis unit 544 may determine the occurrence rate (correlation rate) by dividing the product into categories such as luxury items and beverages.

  FIG. 23 is a flowchart illustrating an example of a flow of processing executed by the management server 500 according to the third embodiment. First, the person specifying unit 536 of the management server 500 specifies a service target person (S41).

  Next, the collection unit 520 acquires vital data of the current subject from the terminal device 100 (S42). The acquired vital data is added to the vital data 512.

  Next, the purchase behavior analysis unit 544 determines whether or not any of the records defined in the health condition analysis table 515 corresponds to the latest vital data of the target person, and corresponds to the corresponding record. When there is a health condition, it is estimated that the subject is in the health condition (S43).

  Next, the purchase behavior analysis unit 544 extracts a product having a correlation with the health condition from the correlation determination table 516 (S44), and determines whether the extracted product is in stock in the other facility 400 where the target person is present. Determine (S45). If the extracted product is in stock, information on the extracted product is transmitted to the terminal device 100 or the like (S46).

  FIG. 24 is a diagram for explaining another example of the analysis method of the correlation between the health condition and the purchase. For example, the management server 500 counts the number of times that the subject's health state corresponds to the health state defined in the health state analysis table 515 for each time period. In the figure, “●” marks indicate the number of times counted. In addition, the management server 500 counts the purchase information of the target person for each same time period. In the figure, the numbers in the items indicate the number of purchases.

  The management server 500 may determine that there is a correlation between the health state and purchase when there is a correlation between the health state and purchase information for each time period counted in this way.

  In addition, the management server 500 does not uniformly count in the time zone, but purchases made immediately before the timing of switching of the health state (for example, within a predetermined time period) before switching. The degree of counting may be increased by determining that there is a strong correlation with the health condition. In addition, the system of the embodiment predicts future vital data values from weather forecast data and estimates from the predicted vital data when external environmental factors such as cloudy or rainy weather, pollen scattering and the like correlate with vital data. The form which recommends the goods which a user desires to the terminal device 100 in advance based on the purchase information correlated with the health state.

  According to the third embodiment described above, it is possible to provide information for recommending a product suitable for the health condition of the subject.

(Fourth embodiment)
A fourth embodiment will be described. The life data integrated analysis system of the fourth embodiment performs a process of extracting recommended products based on information on products to be purchased and purchase history data.

  FIG. 25 is a flowchart illustrating another example of the product information provision process executed by the management server 500. The person specifying unit 536 of the management server 500 specifies a service target person (S51).

  Next, the collection unit 520 acquires vital data of the current subject from the terminal device 100 (S52). The acquired vital data is added to the vital data 512.

  Next, the purchase behavior analysis unit 544 determines whether or not any of the records defined in the health condition analysis table 515 corresponds to the latest vital data of the target person, and corresponds to the corresponding record. When there is a health condition, it is estimated that the subject is in the health condition (S53).

  Next, the purchase behavior analysis unit 544 extracts a product having a correlation with the health condition from the correlation determination table 516 (S54), and further, the target person plans to purchase from the POS device 412 of the other facility 400 ( Alternatively, information on the purchased product is acquired (S55). The purchase behavior analysis unit 544 then obtains a difference product obtained by subtracting a product that the target person plans to purchase (or purchased) from a product that is correlated with the health condition of the target person in the other facility 400 where the target person is present. It is determined whether or not there is stock in (S56). If the difference product is in stock, the extracted product information is transmitted to the terminal device 100 or the like (S57).

  According to the fourth embodiment described above, unnecessary information is provided in order not to provide information about a product that the target person plans to purchase (or has purchased) as compared with the third embodiment. Thus, the subject can be prevented from feeling annoying.

(Modification 1 of 4th Embodiment)
Hereinafter, a first modification of the fourth embodiment will be described. In this modification, processing for providing recommended product information is performed based on fluctuations in the value of vital data.

  FIG. 26 is a diagram showing the correlation between the value of vital data and the purchase tendency. In the figure, the horizontal axis represents the value of vital data (blood pressure in the figure), and the vertical axis represents the actual purchase of a specific product when the value of the vital data is indicated.

  A graph G1 shown in the figure schematically illustrates a distribution related to products that tend to be purchased with an increase in blood pressure. A graph G2 shown in the figure schematically illustrates a distribution relating to products that tend to be purchased with a decrease in blood pressure. As described above, the preference of the subject changes with respect to the value of the blood pressure (specific vital data), and the actually purchased product changes.

  For example, the management server 500 may acquire such a tendency by statistical processing and determine a recommended product based on the value of the vital data of the target person.

  According to the modification example 1 of the fourth embodiment described above, it is possible to provide recommended product information based on fluctuations in the value of vital data.

(Modification 2 of the fourth embodiment)
Hereinafter, modification 2 of the fourth embodiment will be described. In general, depending on where the subject stands, the activities performed at that location vary. Different activities have different amounts of exercise. Originally, it is a place where an amount of exercise more than a predetermined amount is expected, such as a field or a playground. If only a sufficiently small amount of exercise is detected with respect to the predetermined amount of exercise while in such a place, the user may be unable to move because of physical condition. In addition, a library or the like is a place where the amount of exercise is not expected to increase beyond a predetermined amount. If a change such as a sudden increase in the amount of exercise is detected in a place where the amount of exercise does not increase in this way, a dangerous situation may occur for the user. As described above, when activities are different, even if it is attempted to monitor the safety of a user, it may not be possible to make an appropriate determination using a uniform determination based on the amount of exercise.

  In this modified example, in addition to the normal health maintenance service, a process of quickly detecting that a dangerous situation has occurred in the target person who is out is performed.

  The management server 500 may determine the current state based on the vital data with reference to the location table 517 in the storage unit 510 and the like.

  FIG. 27 is a diagram illustrating an example of information stored in the storage unit 510B according to the present modification. Compared with the storage unit 510 of the first embodiment, the storage unit 510B further stores a location table 517.

  FIG. 28 is a diagram illustrating an example of the contents of the location table 517. The place table 517 is information for determining whether or not the amount of exercise for the place is appropriate for the place. For example, the place table 517 is information in which a body motion index, an appropriate range, an allowable time, and the like are associated with a place. A place is information that classifies a place where a subject may drop in. The body motion index is a standard value of the momentum (body motion) in the above place. The appropriate range is a lower limit value and an upper limit value of a range that can be determined as an appropriate value as the amount of exercise (body movement) in the above place. The allowable time indicates a time during which a temporary deviation is allowed until it is determined that the body motion index is out of the appropriate range. The time allowed for the lower limit value and the upper limit value of the appropriate range may be different values.

  The service providing unit 540 of the management server 500 acquires the location of the target person, and when the location corresponds to a location specified in the location table 517, the amount of exercise acquired from the terminal device 100 deviates from the appropriate range. If the measured time exceeds the allowable time, information indicating the danger is transmitted to the terminal device 100 or a terminal device of a person different from the target person. The amount of exercise can be measured by a detection value of an acceleration sensor built in the wearable biosensor or the communication device. As a result, the life data integrated analysis system can notify the danger when an amount of exercise that does not occur in the place originally occurs, that is, when a dangerous state such as a fall occurs.

  According to the modified example 2 of the fourth embodiment described above, when there is a possibility that the subject is in a dangerous state, the danger can be notified promptly.

(Fifth embodiment)
The fifth embodiment will be described below. The life data integrated analysis system according to the fifth embodiment performs processing for further enhancing the effect of improving the health condition by taking a product based on information on the product to be purchased.

  FIG. 29 is a diagram illustrating an example of information stored in the storage unit 510C according to the fifth embodiment. Compared to the first embodiment, the storage unit 510C further stores an ingredient combination table 518.

  FIG. 30 is a diagram illustrating an example of the contents of the food combination table 518. The food combination table 518 is information in which a combination of foods expected to have an effect of improving the health condition is associated with the health condition. The health state is estimated by the processing described in the third embodiment. In the figure, ingredients 1 and 2 indicate combinations of ingredients that can be expected to improve health by eating together.

  The service providing unit 540 of the present embodiment estimates, for example, the health state of the subject, extracts ingredients corresponding to the estimated health state from the ingredient combination table 518, and transmits them to the terminal device 100 of the subject. Here, when the target person is in the other facility 400 and the target person plans to purchase (or purchases) some product, the product (food material) extracted from the food material combination table 518 as in the fourth embodiment. Therefore, the difference product information obtained by subtracting the product (food) to be purchased (or purchased) may be transmitted to the terminal device 100 of the subject.

  For example, the service providing unit 540 estimates that the subject is anemic based on acceleration and skin temperature (body temperature) in the vital data, and eats when the subject is trying to purchase strawberries. As a product that can be expected to eliminate anemia, products (foodstuffs) that promote absorption of iron are extracted. According to the ingredient combination table 518, the ingredient becomes cheese.

  According to 5th Embodiment demonstrated above, the improvement effect of the health condition by ingesting a specific foodstuff can further be heightened.

(Sixth embodiment)
A sixth embodiment will be described. In this embodiment, a health condition is estimated based on the sound which a user uttered, and the information of the goods suitable for a health condition is provided.

  FIG. 31 is a diagram illustrating an example of information stored in the storage unit 510D according to the sixth embodiment. The storage unit 510D further stores symptom determination reference data 519 as compared to the storage unit 510 of the first embodiment.

  FIG. 32 is a diagram illustrating an example of the content of the symptom determination criterion data 519. The symptom determination reference data 519 is information in which a product (recommended product) expected to have an effect of improving the health state estimated from the body sound is associated with the body sound. The body sound information is, for example, information obtained by patterning sounds that are unintentionally emitted by the user or converting them into feature amounts. The body sound information may be information obtained by labeling the type of sound determined by the terminal device 100 or the like.

  The service providing unit 540 according to the sixth embodiment responds to a corresponding body sound when the sound collected from the terminal device 100 or the like corresponds to any of the body sounds defined in the symptom determination reference data 519. The recommended product to be extracted is extracted from the symptom determination reference data 519, and information on the extracted product is transmitted to the terminal device 100 of the subject.

  According to the sixth embodiment described above, a product suitable for a related health condition can be recommended based on a body sound emitted by a user.

(Seventh embodiment)
A seventh embodiment will be described. 7th Embodiment demonstrates the process which applies a life data integrated analysis system to the service which provides a rental house, and improves a resident's health condition. For example, in a rental house to which the life data integrated analysis system is applied, a rental fee is set according to the health condition of the resident. The rent is set so that the rent is reduced as it becomes healthy. As a result, if the resident is healthy, the rent is reduced, and the reduced amount becomes an incentive for the resident.

  FIG. 33 is a diagram illustrating an example of information stored in the storage unit 510E according to the seventh embodiment. Compared with the storage unit 510 of the first embodiment, the storage unit 510E further stores a health point table 550.

  FIG. 34 is a diagram showing an example of the contents of the health point table 550. The health point table 550 is information in which the activity amount of the target person's performance and the achievement points given to the activity amount of the performance are associated with the activity menu. The activity menu is information patterned by classifying activities that can be performed by the subject, and includes sleep, exercise, meal, and the like. The contents of these activities can be estimated based on detection values of an acceleration sensor built in the terminal device 100 such as a wearable biological sensor. The achievement points are data of points to be given to the subject with respect to the amount of achievements made. The achievement points are determined so that the points to be given differ depending on the achievement amount. Note that the activity menu is not a single achievement, but may be a form in which achievement points are given only by simultaneously achieving a plurality of menus such as sleeping 6H or more, stepping 8000 steps or more, and three meals.

  The service providing unit 540 according to the seventh embodiment counts the health points of the target person, and transmits the counted result to the device used by the manager of the rental house. The rental housing manager determines the rent according to the provided health points. Specifically, the device used by the administrator automatically determines the rent based on the health points received from the management server 500.

  The health points counted as described above may also be transmitted to the insurance company server 600. In this case, the insurance company server 600 advantageously changes the insurance conditions of the target person as the health point increases. Furthermore, the service providing unit 540 may include an insurance condition calculation unit that calculates insurance conditions based on health points and transmits the calculation result to the insurance company server 600.

  According to the seventh embodiment described above, the health state can be estimated based on the amount of activity of the target person and reflected in the rental conditions and insurance conditions.

  Also, rental housing owners can differentiate from other rental properties by subscribing to the services of this embodiment, for example, as an incidental service for fire insurance. This can lead to an increase in the closing rate. In this case, the insurance company server 600 accepts an application for a service by the service providing unit 540 as an insurance incidental service by the owner of the rental house for the target person living in the rental house. The service provided by the service providing unit 540 is started by receiving a start request from the insurance company server 600 after the insurance company server 600 receives an application (for example, after further examination).

(Eighth embodiment)
The eighth embodiment will be described below. In the present embodiment, the processing of a service that recognizes the behavior of the subject based on the collected sounds and images and supports the improvement of the health status of the subject is exemplified.

  The person identifying unit 536 extracts and labels features related to the behavior of the target person and the target person from information such as sensor data, video, and sound collected as the life data of the target person, and converts them into character strings and symbols. To do. The person specifying unit 536 estimates the health status of the subject based on the extracted information.

  The person specifying unit 536 extracts the following features from the image. Features extracted from the image include the face of the subject, attributes such as gender and age, appearance, posture, interest level, behavioral state, movement (tracking), surrounding situation, wrinkles appearing in the behavior, and the like.

  The person specifying unit 536 extracts the following features from the sound. The features extracted from the sound include voices uttered by the subject or the like, such as features of speech emitted by the subject or contents extracted from the speech (conversation) of the group including the subject. Furthermore, the features extracted from the sound may include sounds generated by the person's action, sounds generated by the subject unconsciously, such as snoring, coughing, sneezing, bruxism, and turning over.

  The person specifying unit 536 estimates the user's health status based on the above image and sound. Hereinafter, specific estimation methods will be described by taking “sleepiness”, “fluctuation of blood glucose level”, and “proneness of dementia” as examples.

  For example, the person identifying unit 536 detects the state of drowsiness from the following features. The person identification unit 536 detects drowsiness by detecting, for example, an irregular movement of the head in a sitting state, a movement of a heel, a state of gaze due to a decrease in interest level, or the like from the image of the subject. Identifies the condition. In addition, the person identifying unit 536 detects, from the sound of the subject, sounds such as breathing rate, sleep (a speech whose meaning is unclear as a conversation), snoring, bruising, turning over, etc. Identifies it. The person specifying unit 536 estimates the balance between the sympathetic nerve and the parasympathetic nerve from the normal heartbeat data and pulse data by the wearable sensor device, changes in the skin temperature, and the like, and estimates whether or not the person is drowsy. The form to do may be sufficient.

  It is known that fluctuations in blood glucose levels are more dangerous in acute hypoglycemic situations than in chronic hyperglycemic conditions. The person identifying unit 536 detects a state that tends to be low blood sugar from the following features. The person identifying unit 536 detects from the image an unnatural behavior that is not calm, a state in which the line of sight is not stable due to a decrease in the degree of interest, and the like, and identifies that the target person is prone to hypoglycemia. In addition, the person specifying unit 536 detects from the sound a state that is not established as a conversation or an unclear meaning, and specifies that the subject has a tendency to hypoglycemia.

  It is known that when people tend to have dementia, the same behaviors and remarks are repeated and logical responses become difficult. The person identifying unit 536 detects repetition of the same action or selection of an irregular movement route when going out from the image, and identifies that the subject has a tendency to dementia. Moreover, the form which detects the tendency of early recognition may be sufficient as the person specific | specification part 536 from the repetitive action of the opening / closing of the door detected by the refrigerator in the residence facility 300, and the door opening / closing monitoring apparatus. In addition, the person identifying unit 536 detects from the sound that the number of utterances of the same content is increased, the question cannot be answered logically, etc., and the subject tends to have dementia. Identifies it.

  The person specifying unit 536 may analyze the situation in which the above tendency occurs by statistical processing. For example, the person identifying unit 536 may include a part or all of the continuity of the time in which the situation occurs, the time zone in which the situation has occurred, the number of times or the frequency within the specified period, the frequency distribution, the action history before the time of occurrence, etc. Each occurrence may be analyzed based on the data.

  Even a healthy person may exhibit the above symptoms due to changes in physical condition and living environment.

  When the symptom as described above is detected, the person specifying unit 536 determines whether the similar condition is detected in a healthy situation or whether the symptom is caused by a change in physical condition. You may determine based on the result analyzed by the process. By this determination, the person specifying unit 536 may estimate the physical condition of the subject person.

  In addition, although it has been described that the person specifying unit 536 performs the analysis processing on the image, a part or all of the analysis processing may be performed by an image processing unit provided in the camera, or An image processing unit provided in an apparatus that acquires an image captured by the camera may be implemented. In addition, it is possible to adopt a form in which the action recognition processing of the target person based on images and sounds is performed by a mobile robot such as a robot cleaner equipped with a camera or a microphone or a pet-type robot.

  In addition, a plurality of functions performed as analysis processing for the above image is divided, and some of the divided processing is performed by an image processing unit provided in the camera, and further, the image in the camera is further processed. The apparatus which acquired the result processed by the process part may implement at least one part of the other process of the divided | segmented processes.

  According to the eighth embodiment described above, in addition to obtaining the same effect as the above-described embodiment, the behavior of the subject person is recognized based on the collected sounds and images, and the health condition of the subject person is confirmed. Can support improvement.

(Ninth embodiment)
The ninth embodiment will be described below. In the present embodiment, a service that supports an operation of the terminal device 100 or the like for a subject who is not familiar with the device such as the terminal device 100 will be described.

  When registering the identification information of the target person, the terminal device 100 may explain the procedure and the like by voice guidance. In such a case, the subject may not have even experienced operating the terminal device 100. The management server 500 detects a request from the terminal device 100 and notifies the terminal device 100 of information related to a procedure required for the request. The terminal device 100 outputs the information as voice. The terminal device 100 may further display the information as an image on the display unit. Alternatively, the terminal device 100 may provide some or all of the information acquired from the management server 500 to other devices existing in the vicinity of the terminal device 100. The voice guidance may be in the form of selecting the best language according to the user's native language.

  According to the ninth embodiment described above, in addition to obtaining the same effect as the above-described embodiment, the operation of the terminal device 100 or the like can be performed on a subject or the like who is unfamiliar with the device such as the terminal device 100 or the like. Can help. As described above, the target person can obtain information provided from the management server 500 without operating the terminal operation 100.

(Modification 1 of the ninth embodiment)
A first modification of the ninth embodiment will be described. The terminal device 100 determines the degree of recognition of the operation method from the repetition state of the operation by the target person, etc., changes the guidance related to the operation to be provided to the guidance with the content suitable for the degree of recognition of the operation method, and explains the operation method May be provided.

  According to the modification example 1 of the ninth embodiment described above, in addition to obtaining the same effect as the above-described embodiment, the terminal according to the degree of recognition of the device such as the terminal device 100 of the subject person Operation of the device 100 or the like can be supported.

(Modification 2 of the ninth embodiment)
A second modification of the ninth embodiment will be described. The terminal device 100 may estimate the recognition status of the subject regarding the operation of the terminal device 100 from the operation history of the subject, and may support registration of the personal ID based on the estimation result.

  According to the modification 2 of the ninth embodiment described above, in addition to obtaining the same effect as the above embodiment, the target person estimates the degree of recognition of the operation of the device such as the terminal device 100. By performing the support based on the estimation result, the operation of the terminal device 100 or the like can be supported.

(Tenth embodiment)
The tenth embodiment will be described below. In the present embodiment, a service that supports transmission of a subject's situation when the subject cannot respond to a question from the questioner will be described.

  The terminal device 100 may provide a description of the situation related to the health status of the subject by voice synthesis or the like instead of the subject who is in a situation where it is difficult to speak. For example, the terminal device 100 may detect an operation of the subject and provide a description of the situation related to the health status of the subject by voice synthesis or the like instead of the subject who is difficult to speak. Good.

  According to the tenth embodiment described above, in addition to obtaining the same effect as the above embodiment, when the target person is unable to respond to the question from the questioner, the response to the question is supported. By doing so, the situation of the subject can be communicated.

(Modification 1 of 10th Embodiment)
A first modification of the tenth embodiment will be described. When the subject is in a situation where it is difficult to judge or respond to the questioner's question due to a condition such as a physical condition, the terminal device 100 receives a question regarding the health condition of the subject instead of the subject, The above-mentioned question may be answered by converting a message that conveys the situation regarding the health condition of the voice into voice by voice synthesis and outputting it.

  According to the first modification of the tenth embodiment described above, even if the subject is in a state of physical condition or the like, the subject's situation can be transmitted.

(Modification 2 of 10th Embodiment)
A second modification of the tenth embodiment will be described. When the subject is in a situation where it is difficult to judge or respond to the questioner's question due to a condition such as physical condition, the terminal device 100 receives a question regarding the recent action history of the subject instead of the subject, As a response to the question of the questioner, a message that conveys the situation related to the behavior history of the target person may be converted into a voice by speech synthesis and output to output the answer to the above question.

  According to the modified example 2 of the tenth embodiment described above, even when the subject is in a state of physical condition or the like, the subject's situation can be transmitted. In addition, in the weather forecast and the target person's schedule, etc., predict the subject's physical condition in advance based on the degree of similarity to the past performance pattern, notify the target person or related parties, and ask for support support selection by voice synthesis. The form to do may be sufficient.

  The processes of the embodiments described above are not mutually exclusive, and some or all of them may be combined.

  According to at least one embodiment described above, the life of the subject can be obtained from the information collection device that is a terminal device used by the subject and the information collection device that is a device installed in a facility including a non-residential facility. The collection unit that collects both the data and the individual identification information that is the identification information of the subject individually recognized by the information collection device, and the correspondence information that associates the individual identification information with the unified identification information By having a service providing unit that executes a service for analyzing the life data of the target person corresponding to the plurality of individual identification information based on the life data associated with the collected plurality of individual identification information, a wider range The life data of the subject can be analyzed.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 100 ... Terminal device (information collection device), 200 ... Agency terminal, 300 ... Housing facility, 400 ... Other facility (non-residential facility), 500 ... Management server, 510 ... Storage part, 511 ... User registration information (corresponding information) 512, vital data, 513, purchase history data, 514, action history data, 520, collection unit, 530, management unit, 532, registration information reception unit, 534, correspondence information generation unit, 536, person identification unit, 540 ... Service providing unit, 542 ... Timeline processing unit, 544 ... Purchase behavior analyzing unit, 546 ... Display information generating unit, 600 ... Insurance company server

Claims (18)

From the information collection device that is a terminal device used by the subject and the information collection device that is a device installed in a facility including a non-residential facility, the life data of the subject and the information collection device are individually recognized. A collection unit that collects together individual identification information that is identification information of the subject to be
Corresponding to the plurality of individual identification information based on the life data associated with the plurality of individual identification information collected by the collection unit with reference to correspondence information in which the individual identification information is associated with the unified identification information A service providing unit for executing a service for analyzing the life data of the subject;
Integrated life data analysis system. A registration information receiving unit that receives registration information in which the unified identification information and the individual identification information are associated;
A correspondence information generating unit that generates correspondence information based on the registration information received by the registration information receiving unit;
Further comprising
The life data integrated analysis system according to claim 1. A registration device that accepts or gives input of the unified identification information, further comprising a registration device connected to an information collection device that recognizes the target person with the individual identification information,
The registration device transmits the individual identification information input from the information collection device to the registration information reception unit as the registration information together with the unified identification information for receiving or giving the input.
The life data integrated analysis system according to claim 2. The information collection device includes at least one of a camera and a wireless communication device.
The life data integrated analysis system according to claim 3. The service providing unit generates a display image associated with time based on the life data of the subject.
The life data integrated analysis system according to any one of claims 1 to 4. The service providing unit generates a display image associated with a place based on the life data of the subject.
The life data integrated analysis system according to any one of claims 1 to 4. The service providing unit estimates the health status of the subject based on a comparison of information typified by the status of the subject and life data of the subject.
The life data integrated analysis system according to any one of claims 1 to 6. The service providing unit outputs information recommending purchase behavior associated with the estimated health condition of the subject.
The life data integrated analysis system according to claim 7. The service providing unit outputs information on recommended purchase behavior based on the relationship between past purchase data and the life data.
The life data integrated analysis system according to any one of claims 1 to 8. The service providing unit determines that the purchase behavior performed immediately before the change of the state of the target person is an effective purchase behavior, and increases the possibility of including it in the recommended purchase behavior.
The life data integrated analysis system according to claim 9. The service providing unit outputs information corresponding to a recommended product based on the relationship between current purchase data and the life data.
The life data integrated analysis system according to any one of claims 1 to 10. The service providing unit recommends food suitable for the health based on the food taken by the subject and the estimated health.
The life data integrated analysis system according to claim 7. An insurance condition calculation unit that calculates the insurance conditions of the target person based on the result of the service executed by the service providing unit or information obtained in the process of executing the service;
The life data integrated analysis system according to any one of claims 1 to 12. The service providing unit digitizes the health status of the subject, and transmits the digitized information to a server device operated by an insurance company.
The life data integrated analysis system according to any one of claims 1 to 13. The service providing unit digitizes the health status of the target person living in a rental house, and transmits the digitized information to a device used by an administrator of the rental house,
In the apparatus used by the manager of the rental house, the rent is determined based on the digitized information.
The life data integrated analysis system according to any one of claims 1 to 14. An insurance company server that accepts an application for service by the service provider as an incidental service of insurance by the owner of the rental house for the target person who lives in the rental house,
The service provided by the service providing unit is started after the insurance company server accepts the application.
The life data integrated analysis system according to any one of claims 1 to 15. Computer
The information collection device individually recognizes the life data of the subject from an information collection device that is a terminal device used by the subject and an information collection device that is a device installed in a facility including a non-residential facility. Collected together with individual identification information that is identification information of the subject to be
Corresponding to the plurality of individual identification information based on the life data associated with the plurality of individual identification information collected by the collection unit with reference to correspondence information in which the individual identification information is associated with the unified identification information To execute a service for analyzing the life data of the subject.
Life data integrated analysis method. On the computer,
The information collection device individually recognizes the life data of the subject from an information collection device that is a terminal device used by the subject and an information collection device that is a device installed in a facility including a non-residential facility. Collected together with individual identification information that is identification information of the subject,
Corresponding to the plurality of individual identification information based on the life data associated with the plurality of individual identification information collected by the collection unit with reference to correspondence information in which the individual identification information is associated with the unified identification information To execute a service for analyzing the life data of the subject.
Life data integrated analysis program.

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